“…In other words, the technology and building blocks exist for USV systems but integrated product and product application are lacking. On the issue of resistance to new technology, there is an increased acceptance of unmanned systems as a tool for the environmental and ocean sciences (Steimle and Hall 2006).…”
The challenges to the habitat and marine life of the South African coast are many and varied, for example climate changes, animal/fish population cycle variations, development and recreational demands, subsistence harvesters, traditional poaching culture in some communities, poverty, problems associated with natural disasters, oil spills, mining activities, and criminal enterprises. One of the biggest problems facing South Africa's marine life is poaching, which is the focal point of this paper.
This paper proposes a technology enabler to assist with combating poaching. It is based on unmanned surface vehicles (USV) with sensors that patrol identified areas for poaching activities. This USV has a communication system that relays information real‐time from the sensors to a control room where it is monitored. The control room is in contact with enforcement agencies. The interconnection of planning systems, monitoring sensors and visualization tools will enable quick reaction and orchestrated response to threats by one or more of the enforcement agencies.
“…In other words, the technology and building blocks exist for USV systems but integrated product and product application are lacking. On the issue of resistance to new technology, there is an increased acceptance of unmanned systems as a tool for the environmental and ocean sciences (Steimle and Hall 2006).…”
The challenges to the habitat and marine life of the South African coast are many and varied, for example climate changes, animal/fish population cycle variations, development and recreational demands, subsistence harvesters, traditional poaching culture in some communities, poverty, problems associated with natural disasters, oil spills, mining activities, and criminal enterprises. One of the biggest problems facing South Africa's marine life is poaching, which is the focal point of this paper.
This paper proposes a technology enabler to assist with combating poaching. It is based on unmanned surface vehicles (USV) with sensors that patrol identified areas for poaching activities. This USV has a communication system that relays information real‐time from the sensors to a control room where it is monitored. The control room is in contact with enforcement agencies. The interconnection of planning systems, monitoring sensors and visualization tools will enable quick reaction and orchestrated response to threats by one or more of the enforcement agencies.
“…USVs are characterized by small size, good hiding capability, high mobility, and low price; these vehicles can also be used in many aspects of marine applications, such as oceanography, environmental monitoring, surveying, mapping and navigation, as well as communication support for unmanned underwater vehicles and general robotics research (Manley, 2008;Majohr and Buch, 2006;Caccia et al, 2007;Sutton et al, 2011;Corfield and Young, 2006;Motwani, 2012;Dunbabin et al, 2009;Steimle and Hall, 2006;Heidarsson and Sukhatme, 2011;Wang et al, 2009). The development of a fully autonomous system that can work under any unstructured or unpredictable environment is a challenging task that requires robust guidance and control strategies (Naeem et al, 2012).…”
“…Each of these platforms provides various capabilities for payload, communication, mobility and autonomy. In the recent years, numerous ASV have been developed for bathymetric data recording in shallow water [1], monitoring of various marine environmental data either alone [2]- [4] or as part of a sensor network [5]- [9]. All of these aforementioned vehicles are conventional electric powered systems and suffer from a lack of autonomy that restrains their usage to short term missions.…”
Artificial potential fields method is a widely used algorithm for path planning of autonomous terrestrial robots. In this paper, this method is applied for the local path planning of an autonomous sailboat robot. Environment and specific sailboat navigation constraints (upwind and downwind no-go zones) are represented by local potentials built around the boat location and periodically updated to take into account changes of the wind direction and obstacles' position. A line of sight (LOS) based potential is used to guarantee that the vehicle stays inside a band around the direct route between two consecutive way points. A new repulsive potential with a speed-dependent component is also presented in order to get smoother obstacle avoidance trajectories.
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